Summary
Tapan Babbar is a senior engineering manager leading Generalized AI Agents with a 15-year track record in backend, infrastructure and quality-driven delivery. He excels at building production-grade multi-agent AI simulations, server-side orchestration for function-calling workflows, and RAG-style context systems while instituting rigorous QA pipelines for APIs, data and scenario realism. Previously he scaled real-time supply-chain pipelines and deployed LangChain-based chatbots and ML demand-forecasting at PharmEasy, and earlier led MERN and real-time systems, sentiment ML, and DevOps improvements at publishing and product startups. A pragmatic technologist, he blends hands-on architecture (NodeJS, Python, PostgreSQL, AWS) with team-building, recruitment and agile process design to drive measurable impact. Notably, he couples test-automation and CI/CD evangelism with strong product sensibilities, ensuring systems are both robust and delivery-focused. Based in Mumbai, he brings entrepreneurial roots from cofounding an ed-tech venture to leading AI-first engineering teams today.
9 years of coding experience
13 years of employment as a software developer
Bachelor of Technology (BTech), Electrical and Electronics Engineering, Bachelor of Technology (BTech), Electrical and Electronics Engineering at Panjab University
English